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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    proper nouns related to a particular location, specifically "Beverly Hills"

    oai_token-act-pair · gpt-3.5-turbo

    references to the location "Beverly Hills."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -1.07
    ebook
    -1.05
    emic
    -0.79
    ems
    -0.77
    idem
    -0.76
    udic
    -0.75
    ilver
    -0.69
    OPLE
    -0.68
    umbn
    -0.68
    eral
    -0.67
    POSITIVE LOGITS
     Hills
    1.24
     Crusher
    0.98
     Beverly
    0.97
     Boulevard
    0.93
     Blvd
    0.85
     Hilton
    0.83
     Lumpur
    0.82
    minster
    0.81
     Peninsula
    0.79
     Ny
    0.78
    Activations Density 0.001%

    No Known Activations